MS-AI4AI-FDE-SeniorCon

• Lead complex end-to-end deployments in production at strategic customers.
• Lead the discovery, design, development, and deployment of high-impact AI / GenAI-powered solutions in close collaboration with client stakeholders.
• Build LLM-driven applications, RAG systems, and agentic workflows that demonstrate measurable business value.
• Drive innovation by creating reusable accelerators, frameworks, and reference implementations for enterprise GenAI deployments.
• Enable rapid experimentation and large-scale adoption of AI, data, and cloud platforms through hands-on engineering leadership.

Key Responsibilities

• Partner with client business and engineering teams to translate complex problems into executable GenAI solutions.
• Own solution delivery end‑to‑end, from discovery and architecture through production deployment.
• Act as a trusted technical advisor to senior and executive client stakeholders.
• Design and build LLM‑powered applications, including copilots, assistants, RAG systems, and agentic workflows.
• Integrate GenAI solutions with enterprise data platforms, APIs, and external systems.
• Optimize solutions across latency, cost, accuracy, scalability, security, and compliance.
• Convert PoCs into production‑grade, enterprise‑ready platforms through rapid iteration and feedback.
• Architect scalable, reliable, and observable systems using cloud‑native patterns.
  • Develop reusable accelerators, reference architectures, and best practices for enterprise GenAI adoption.